Get Acknowledgment Overview
get_acknowledgment_overviewRead organization acknowledgment overview analytics.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
| result | Yes |
get_acknowledgment_overviewRead organization acknowledgment overview analytics.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
| Name | Required | Description | Default |
|---|---|---|---|
| result | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, and openWorldHint=false, so the safety profile is fully covered by structured data. The description adds nothing beyond restating 'Read' — no note on what the overview aggregates, its org-wide scope, or freshness/aggregation behavior — so it provides no value beyond the annotations.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
A single front-loaded sentence with zero filler; nothing wasted. It is arguably too terse for the ambiguity it leaves, but that is a completeness issue rather than a conciseness defect.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With zero parameters, rich annotations, and an output schema covering return values, the definition is minimally sufficient to invoke. Still, the description never clarifies what the 'overview' contains or how it differs from the closely named acknowledgment summary/tracking tools, leaving real selection ambiguity in a crowded sibling set.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool takes zero parameters, so there is nothing for the description to disambiguate; the baseline of 4 applies. The description correctly implies an implicit organization-wide scope rather than requiring a parameter.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description gives a clear verb ('Read') and a specific resource ('organization acknowledgment overview analytics'), so the agent knows this is a read-only analytics retrieval. However, it offers no differentiation from near-identical siblings such as get_acknowledgement_summary, get_acknowledgement_tracking, or get_location_acknowledgement_summary, all of which plausibly return similar acknowledgment data.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool versus the many acknowledgment-related siblings; the agent must infer from the name alone. No prerequisites, scope conditions, or exclusions are stated.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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